T cells' immunological synapses induce polarization of brain astrocytes in vivo and in vitro: a novel astrocyte response mechanism to cellular injury. by Carlos Barcia, Nicholas S R Sanderson, Robert J Barrett, Kolja Wawrowsky, Kurt M Kroeger, Mariana Puntel, Chunyan Liu, Maria G Castro, Pedro R Lowenstein

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HERGAI: an artificial intelligence tool for structure-based prediction of hERG inhibitors by Viet-Khoa Tran-Nguyen, Ulrick Fineddie Randriharimanamizara, Olivier Taboureau

“…Our best-performing model, a stacking ensemble classifier with a DNN meta-learner, achieved state-of-the-art classification performance, accurately identifying 86% of molecules having half-maximal inhibitory concentrations (IC50s) not exceeding 20 µM in our challenging test set, including 94% of hERG blockers whose IC50s were not greater than 1 µM. …”
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Study on the Detection of Chlorophyll Content in Tomato Leaves Based on RGB Images by Xuehui Zhang, Huijiao Yu, Jun Yan, Xianyong Meng

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A Comprehensive Machine Learning Approach for COVID-19 Target Discovery in the Small-Molecule Metabolome by Md. Shaheenur Islam Sumon, Md Sakib Abrar Hossain, Haya Al-Sulaiti, Hadi M. Yassine, Muhammad E. H. Chowdhury

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Fine-Tuned Machine Learning Classifiers for Diagnosing Parkinson’s Disease Using Vocal Characteristics: A Comparative Analysis by Mehmet Meral, Ferdi Ozbilgin, Fatih Durmus

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Predicting Diabetic Retinopathy and Nephropathy Complications Using Machine Learning Techniques by D. R. Manjunath, J. J. Lohith, S. Selva Kumar, Abhijit Das

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Predicting soil organic carbon with ensemble learning techniques by using satellite images for precision farming by Shyamal Mundada, Pooja Jain

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Predicting Adolescent Concern Over Unhealthy Food Ads Using Explainable AI by Md. Fahim Shahoriar Titu, Md Rohanur Rahman, Afifa Zain Apurba, Mohammad Abdul Qayum, Riasat Khan

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The Study on Landslide Hazards Based on Multi-Source Data and GMLCM Approach by Zhifang Zhao, Zhengyu Li, Penghui Lv, Fei Zhao, Lei Niu

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The Effect of Area Density of Polysilicon Thermocouples on Thermoelectric Performance by Shih-Ming Yang, Zen-Wen Lai, Ai-Lin Liu

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Exploring happiness factors with explainable ensemble learning in a global pandemic. by Md Amir Hamja, Mahmudul Hasan, Md Abdur Rashid, Md Tanvir Hasan Shourov

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Detection and traceability of tetramethylpyrazine in the brewing process of Fuhexiangxing Baijiu by XUE Xijia, CHENG Wei, CHEN Xuefeng, LAN Wei, LI Na, LI Ruilong, PAN Tianquan, DAI Sen

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Integrating data-driven and physics-based approaches for robust wind power prediction: A comprehensive ML-PINN-Simulink framework by Rajaperumal T. A, Christopher Columbus Chinnappan

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LWheatNet: a lightweight convolutional neural network with mixed attention mechanism for wheat seed classification by Xiaojuan Guo, Jianping Wang, Guohong Gao, Zihao Cheng, Zongjie Qiao, Ranran Zhang, Zhanpeng Ma, Xing Wang

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Experimental Investigation on the Acoustic Insulation Properties of Filled Paper Honeycomb-Core Wallboards by Yiheng Song, Haixia Yang, Nanxing Zhu, Jinxiang Chen

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Molecular Recognition of Diaryl Ureas in Their Targeted Proteins—A Data Mining and Quantum Chemical Study by Majed S. Aljohani, Xiche Hu

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A novel image fusion method based on UAV and Sentinel-2 for environmental monitoring by Fan Zhang, Aobo Guo, Zhenqi Hu, Yusheng Liang

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Human genetic engineering and social justice in South Africa: Moltmann and human dignity by M. Kotzé

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Methyl 3-[(tert-butoxycarbonyl)amino]benzoate by Murugesan Ponmagaram, Krishnan Saranraj, Karuppiah Muruga Poopathi Raja

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Synergization of yield strength and ductility for a dilute Mg-Zn-Nd-Ca alloy through pinned twin boundary and Guinier–Preston zone by Xin Wan, Maolin Yin, Chao Zeng, Weilin Liu, Peng Peng, Linsong Zhang, Bi Jia, Jianyue Zhang, Qingshan Yang, Qingwei Dai

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